Portfolio selection in a data-rich environment
AbstractWe model portfolio weights as a function of latent factors that summarize the information in a large number of economic variables. This approach (hereafter diffusion index approach) offers the opportunity to exploit a much richer information base to improve portfolio selection. We use factor analysis to estimate the space spanned by the factors. This provides consistent estimates for the optimal weights as the number of economic variables and sample size go to infinity. We consider an empirical application to illustrate the practical usefulness of our approach. The results indicate that the diffusion index approach helps to improve the portfolio performance.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Economic Dynamics and Control.
Volume (Year): 37 (2013)
Issue (Month): 12 ()
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Web page: http://www.elsevier.com/locate/jedc
Portfolio's weights modeling; Factor analysis; Principal components; Portfolio performance; Stock returns; Fama–French factors; Economic factors; VIX;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G19 - Financial Economics - - General Financial Markets - - - Other
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